Gpu_Utilization_Monitoring
Monitors GPU utilization across your infrastructure, providing real-time insights to optimize performance and resource allocation.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add gpu_utilization_monitoring npx -- -y @trustedskills/gpu_utilization_monitoring
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"gpu_utilization_monitoring": {
"command": "npx",
"args": [
"-y",
"@trustedskills/gpu_utilization_monitoring"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill monitors GPU utilization across a system. It provides real-time data on GPU usage, memory consumption, and temperature. This allows for proactive identification of bottlenecks or potential hardware issues impacting AI workloads.
When to use it
- Troubleshooting slow training: Identify if GPUs are fully utilized during model training runs.
- Capacity planning: Determine if existing GPU resources are sufficient for future workload demands.
- Performance optimization: Pinpoint specific processes or models causing high GPU load.
- Resource allocation: Dynamically adjust resource assignments based on observed GPU utilization patterns.
Key capabilities
- Real-time GPU monitoring
- GPU memory usage tracking
- Temperature reporting
Example prompts
- "Show me the current GPU utilization."
- "What is the temperature of my GPUs?"
- "Report GPU memory consumption for the last 5 minutes."
Tips & gotchas
This skill requires access to system monitoring tools and appropriate permissions to collect GPU data. Ensure the agent has the necessary privileges to accurately report on GPU status.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.